── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.0 ✔ tibble 3.2.1
✔ lubridate 1.9.3 ✔ tidyr 1.3.0
✔ purrr 1.0.2
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(plotly)
Attaching package: 'plotly'
The following object is masked from 'package:ggplot2':
last_plot
The following object is masked from 'package:stats':
filter
The following object is masked from 'package:graphics':
layout
owid =read_csv("owid-covid-data.csv")
Rows: 277283 Columns: 67
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (4): iso_code, continent, location, tests_units
dbl (62): total_cases, new_cases, new_cases_smoothed, total_deaths, new_dea...
date (1): date
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
p = owid |>filter(location %in%c("United States", "Brazil", "India", "United Kingdom", "Sweden")) |>filter(year(date) ==2021|year(date) ==2022, !is.na(new_deaths_smoothed_per_million)) |>ggplot(aes(x=date, y=new_deaths_smoothed_per_million)) +geom_line(aes(color=location)) +labs(x ="Date", y ="Deaths per million persons (smoothed)", color ="State")ggplotly(p)
